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DBMS > eXtremeDB vs. GridGain vs. Microsoft Azure AI Search vs. RisingWave

System Properties Comparison eXtremeDB vs. GridGain vs. Microsoft Azure AI Search vs. RisingWave

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringGridGain is an in-memory computing platform, built on Apache IgniteSearch-as-a-service for web and mobile app developmentA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMS
Time Series DBMS
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Search engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websitewww.mcobject.comwww.gridgain.comazure.microsoft.com/­en-us/­services/­searchwww.risingwave.com/­database
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.risingwave.com/­docs/­current/­intro
DeveloperMcObjectGridGain Systems, Inc.MicrosoftRisingWave Labs
Initial release2001200720152022
Current release8.2, 2021GridGain 8.5.1V11.2, September 2023
License infoCommercial or Open Sourcecommercialcommercial, open sourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, C++, .Net, Python, REST, SQLRust
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
z/OS
hostedDocker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSON
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infosupport of XML interfaces availableyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIJDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)noUDFs in Python or Java
Triggersyes infoby defining eventsyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes (replicated cache)yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
yes infousing Azure authenticationUsers and Roles

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More resources
eXtremeDBGridGainMicrosoft Azure AI SearchRisingWave
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